Caregiver Burden Among Families Of Children With Chronic Disease
Identified socio-demographic and psychosocial variables as well as socio-cultural and familial factors to analyze burden of family caregivers of children.
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Research article overview in layman's terms.
Looking after a child with a chronic disease can be a very challenging experience. In this study, researchers looked at how sociodemographic and psychosocial factors, such as the caregiver's age, education level and the family's income, impact the burden of caregiving.
They also looked at how other variables, such as family support, social support networks, and well-being, can help reduce that burden. The results of the study showed that these factors could explain 40% of the variance in caregiver burden. They also found that having a higher education level, better family support, and being part of social networks, are all factors that can help reduce the burden of caregivers.
This study provides evidence to support further research into how families can build resilience and support one another when caring for a child with a chronic disease.
Psychosocial factors related with caregiver burden among families of children with chronic conditions
Abstract
Family Caregiver Burden
The impact of looking after children who live with complex chronic conditions is a growing public health issue. However, it is unclear whether sociodemographic and psychosocial variables can be used to predict the burden on the caregiver and how the profiles of families of children with chronic diseases are defined and structured. The objective of this study was to identify multivariate sociodemographic and psychosocial variables as well as sociocultural and familial factors to analyze the caregiver burden of family caregivers of children with chronic diseases.
Methods
A cross-sectional study was conducted involving 416 family caregivers of children with chronic diseases at the National Institute of Health in Mexico City. The participants responded to a questionnaire on sociodemographic variables and a battery of 7 instruments that examined caregiver burden, family support, parental stress, anxiety, support networks, family functioning, historic-psycho-socio-cultural premises and the World Health Organization Well-Being Index.
Results
A multivariate analysis using hierarchical multiple regression models showed that the variables included in the psychosocial and sociodemographic profile as a whole explained 40% of the variance in caregiver burden, taking sociocultural historical premises, stressors and anxiety into account as positive individual predictors. Negative individual predictors for caregiver burden included upper secondary education, social support networks, family support, family functioning and well-being. The sociodemographic profiles of family caregivers were as follows: female (81.7%); mean age, 31.7years (standard deviation [SD], 8years); married (79.3%); nuclear family (60%); basic education (62.7%); unpaid work (66.3%); and a daily household income of approximately 4 USD (61.1%).
Conclusions
The caregiver burden of family caregivers of children with chronic diseases is defined and structured based on personal, family, and sociocultural factors. These features provide evidence to conduct research and implement intervention strategies with regard to families facing adversity, risk and vulnerability during a childs disease.
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